Neural networks: An efficient way to reduce erroneous interpretation of myocardial perfusion imaging

被引：0
|
作者：
Tagil, K.
Hesse, B.
Lomsky, M.
Marving, J.
Ohlsson, M.
Richter, J.
Edenbrandt, L.
机构：
[1] Dept Clin Physiol, Malmo, Sweden
[2] Rigshosp, Dept Clin Physiol, Copenhagen, Denmark
[3] Dept Clin Physiol, Gothenburg, Sweden
[4] Dept Theoret Phys, Lund, Sweden
[5] WeAidU Europe AB, Lund, Sweden
[6] Dept Clin Physiol, Lund, Sweden
来源：
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | 2006年 / 33卷
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
引用
收藏
页码：S82 / S82
页数：1
相关论文
共 50 条
  • [1] Bayesian and Artificial Neural Networks Algorithms at Myocardial Perfusion Imaging
    Vieira, D.
    Nogueira, F.
    Metello, L. F.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2011, 38 : S270 - S271
  • [2] Automated interpretation of myocardial SPECT perfusion images using artificial neural networks
    Lindahl, D
    Palmer, J
    Ohlsson, M
    Peterson, C
    Lundin, A
    Edenbrandt, L
    [J]. JOURNAL OF NUCLEAR MEDICINE, 1997, 38 (12) : 1870 - 1875
  • [3] Improved myocardial perfusion PET imaging using artificial neural networks
    Wang, Xinhui
    Yang, Bao
    Moody, Jonathan B.
    Tang, Jing
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2020, 65 (14):
  • [4] Improved myocardial perfusion PET imaging using artificial neural networks
    Wang, Xinhui
    Yang, Bao
    Gao, Xiangzhen
    Tang, Jing
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2018, 59
  • [5] Use of neural networks to improve quality control of interpretations in myocardial perfusion imaging
    K. Tägil
    J. Marving
    M. Lomsky
    B. Hesse
    L. Edenbrandt
    [J]. The International Journal of Cardiovascular Imaging, 2008, 24 : 841 - 848
  • [6] Use of neural networks to improve quality control of interpretations in myocardial perfusion imaging
    Taegil, K.
    Marving, J.
    Lomsky, M.
    Hesse, B.
    Edenbrandt, L.
    [J]. INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2008, 24 (08): : 841 - 848
  • [7] Influence of neural network in interpretation of myocardial perfusion images
    Taegil, K. E.
    Bondouy, M.
    Chaborel, J.
    Djaballah, W.
    Franken, P. R.
    Grandpierre, S.
    Hesse, B.
    Lomsky, M.
    Marie, P. Y.
    Ohlsson, M.
    Poisson, T.
    Richter, J.
    Edenbrandt, L.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2007, 34 : S280 - S280
  • [8] A simple technique to reduce scatter in myocardial perfusion imaging
    Iqbal, S
    Gorski, R
    Khalil, M
    Lone, B
    Blum, S
    Heller, EN
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2002, 39 (05) : 394A - 395A
  • [9] Artificial Neural Networks May Be A Secondary Aid To Physicians For The Interpretation Of Quantitative Myocardial Perfusion Studies
    Guner, L.
    Karabacak, N. Ilgin
    Karagoz, P. Senkul
    Akdemir, O.
    Unlu, M.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2009, 36 : S200 - S200
  • [10] The long way to dose reduction in myocardial perfusion imaging
    Michela Lecchi
    Angelo Del Sole
    [J]. Journal of Nuclear Cardiology, 2018, 25 : 2129 - 2132
12345